# Mem0

> Memory layer for AI agents

Drop-in long-term memory for AI apps and agents so they remember users and context across sessions.

- Source: https://github.com/mem0ai/mem0
- Homepage: https://mem0.ai
- License: Apache-2.0
- Language: Python
- Stars: 66576
- Forks: 7846
- Contributors: 408
- Last commit: 2026-10-01
- Latest release: ts-v3.3.1 (2026-09-25)
- Purpose: AI & LLM tooling, Agents & frameworks
- Runs on: Docker / self-host, Library / SDK
- For: Personal, Enterprise

## Worth score: 84/100

How much DigGitHub recommends it, from activity, adoption, docs, license and security signals.

- Popularity: 24/25
- Momentum: 10/20
- Maintenance: 25/25
- Community: 14/15
- Readiness: 11/15

## Alternatives

- [TencentDB Agent Memory](https://diggithub.com/TencentCloud/TencentDB-Agent-Memory.md): Team-level memory hub for AI agents
- [Hindsight](https://diggithub.com/vectorize-io/hindsight.md): Agent memory that learns
- [Pydantic AI](https://diggithub.com/pydantic/pydantic-ai.md): Type-safe Python agent framework from the Pydantic team
- [Hermes Agent](https://diggithub.com/NousResearch/hermes-agent.md): Self-improving personal agent from Nous Research
- [Langflow](https://diggithub.com/langflow-ai/langflow.md): Visual framework for building AI agents and workflows
- [LangChain](https://diggithub.com/langchain-ai/langchain.md): Framework for building LLM-powered applications
- [LangGraph](https://diggithub.com/langchain-ai/langgraph.md): Build resilient, stateful agents
- [AutoGen](https://diggithub.com/microsoft/autogen.md): Framework for multi-agent AI applications

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Source page: https://diggithub.com/mem0ai/mem0
Updated: 2026-10-05